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Lionel Voirol

Hey !

I am currently a Ph.D. candidate working at the Research Center for Statistics of the University of Geneva advised by Prof. Maria-Pia Victoria-Feser and Prof. Stéphane Guerrier. Before my Ph.D., I obtained a B.Sc. in Economics and Management and a M.Sc. in Business Analytics at the University of Geneva.

🔭 Research interests

My research interests include:

  • Time series analysis & Signal Processing
  • Boostrap methods
  • Generalized Mixed Linear Models
  • Applied Statistics
  • Computational Statistics
  • Machine Learning
  • High-dimensional Statistics & Variable selection

🔧 Technologies & Tools

📈 GitHub Stats

Note: These statistics only concerns my personal repositories. Most of my contributions to open source statistical softwares or educational ressources are published under the SMAC-Group account.

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lionelvoirol's Projects

doarray icon doarray

An R package to simplify launching job array in slurm

license icon license

Central permanent hosted license details under your control

licenses icon licenses

Licenses approved by Team Digitale, ready to use in your repository

martinheinz icon martinheinz

My GitHub Profile README. Don't just fork, star it, so others can find it too! 👀

materials icon materials

Bonus materials, exercises, and example projects for our Python tutorials

mathi-website icon mathi-website

Website from the "Mathématiques I" class given at University of Geneva.

rivrmon icon rivrmon

Collection of tools to aid in data munging and visualisation of river monitoring data

synimu icon synimu

This package implements a non-parametric method that makes use of the wavelet cross-covariance at different scales to combine the measurements coming from an array of sensors in order to deliver an optimal measurement signal without needing any assumption on the processes underlying the individual error signals.

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